On Disentangled Representations Learned From Correlated Data

14 June 2020

Francesco Locatello

Stefan Bauer

Papers citing "On Disentangled Representations Learned From Correlated Data"

26 / 26 papers shown

Title
Analyzing (In)Abilities of SAEs via Formal Languages Abhinav Menon Manish Shrivastava David M. Krueger Ekdeep Singh Lubana 42 7 0 15 Oct 2024
When does compositional structure yield compositional generalization? A kernel theory Samuel Lippl Kim Stachenfeld NAI CoGe 73 5 0 26 May 2024
Learned feature representations are biased by complexity, learning order, position, and more Andrew Kyle Lampinen Stephanie C. Y. Chan Katherine Hermann AI4CE FaML SSL OOD 34 6 0 09 May 2024
Towards Controllable Time Series Generation Yifan Bao Yihao Ang Qiang Huang Anthony K. H. Tung Zhiyong Huang DiffM 40 4 0 06 Mar 2024
Disentangling representations of retinal images with generative models Sarah Muller Lisa M. Koch Hendrik P. A. Lensch Philipp Berens MedIm 32 3 0 29 Feb 2024
Identifying Semantic Component for Robust Molecular Property Prediction Zijian Li Zunhong Xu Ruichu Cai Zhenhui Yang Yuguang Yan Zhifeng Hao Guan-Hong Chen Kun Zhang 23 9 0 08 Nov 2023
Disentanglement Learning via Topology Nikita Balabin Daria Voronkova I. Trofimov Evgeny Burnaev S. Barannikov DRL 55 2 0 24 Aug 2023
On Counterfactual Data Augmentation Under Confounding Abbavaram Gowtham Reddy Saketh Bachu Saloni Dash Charchit Sharma Amit Sharma V. Balasubramanian CML BDL 30 0 0 29 May 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning Yuejiang Liu Alexandre Alahi Chris Russell Max Horn Dominik Zietlow Bernhard Schölkopf Francesco Locatello CML 56 22 0 12 Jan 2023
Disentangled Representation Learning Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 32 77 0 21 Nov 2022
Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning Xueyang Tang Song Guo Jie M. Zhang FedML OODD OOD 36 3 0 21 Nov 2022
Disentangling Content and Motion for Text-Based Neural Video Manipulation Levent Karacan Tolga Kerimouglu .Ismail .Inan Tolga Birdal Erkut Erdem Aykut Erdem 18 1 0 05 Nov 2022
Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations Grégoire Mialon Randall Balestriero Yann LeCun 26 9 0 29 Sep 2022
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection Navid Ghassemi E. F. Ersi AAML OODD 20 4 0 26 Sep 2022
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift Yivan Zhang Jindong Wang Xingxu Xie Masashi Sugiyama OOD 39 1 0 03 Aug 2022
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning Damien Teney Maxime Peyrard Ehsan Abbasnejad 32 29 0 06 Jul 2022
When are Post-hoc Conceptual Explanations Identifiable? Tobias Leemann Michael Kirchhof Yao Rong Enkelejda Kasneci Gjergji Kasneci 50 10 0 28 Jun 2022
Disentangling A Single MR Modality Lianrui Zuo Yihao Liu Yuan Xue Shuo Han M. Bilgel Susan M. Resnick Jerry L. Prince A. Carass 19 14 0 10 May 2022
CITRIS: Causal Identifiability from Temporal Intervened Sequences Phillip Lippe Sara Magliacane Sindy Lowe Yuki M. Asano Taco S. Cohen E. Gavves CML 40 101 0 07 Feb 2022
On Causally Disentangled Representations Abbavaram Gowtham Reddy Benin Godfrey L V. Balasubramanian OOD CML 28 21 0 10 Dec 2021
Identifiable Deep Generative Models via Sparse Decoding Gemma E. Moran Dhanya Sridhar Yixin Wang David M. Blei BDL 28 44 0 20 Oct 2021
Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders Lisa Bonheme M. Grzes DRL 11 6 0 26 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 34 515 0 31 Aug 2021
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 178 313 0 07 Feb 2020
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations Jan Stühmer Richard E. Turner Sebastian Nowozin DRL BDL CoGe 111 25 0 05 Sep 2019
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 673 0 17 Feb 2018